Comparison of Healthcare Costs for Women with Treated Versus Untreated Vasomotor Symptoms Due to Menopause.

INTRODUCTION: The study objective was to estimate all-cause healthcare resource utilization (HCRU) and medical and pharmacy costs for women with treated versus untreated vasomotor symptoms (VMS) due to menopause. METHODS: A retrospective study was conducted using US claims data from Optum Research Database (study period: January 1, 2012-February 29, 2020). Women aged 40-63 years with a VMS diagnosis claim and ≥ 12 and ≥ 18 months of continuous enrollment during baseline and follow-up periods, respectively, were included. Women treated for VMS were propensity score matched 1:1 to untreated controls with VMS. Standardized differences (SDIFF) ≥ 10% were considered meaningful. A generalized linear model (gamma distribution, log link, robust standard errors) estimated the total cost of care ratio. Subgroup analyses of on- and off-label treatment costs were conducted. RESULTS: Of 117,582 women diagnosed with VMS, 20.5% initiated VMS treatment and 79.5% had no treatment. Treated women (n = 24,057) were matched to untreated VMS controls. There were no differences in HCRU at follow-up (SDIFF < 10%). Pharmacy ($487 vs $320, SDIFF 28.4%) and total ($1803 vs $1536, SDIFF 12.6%) costs were higher in the treated cohort. Total costs were 7% higher in the treated cohort (total cost ratio 1.07, 95% CI 1.05-1.10, P < 0.001). The on-label treatment pharmacy costs ($546 versus $315, SDIFF 38.6%) were higher in the treated cohort. Off-label treatment had higher medical costs ($1393 versus $1201, SDIFF 10.4%). CONCLUSIONS: Most women with VMS due to menopause were not treated within 6 months following diagnosis. While both on- and off-label treatment increased the total cost of care compared with untreated controls, those increases were modest in magnitude and should not impede treatment for women who report symptom improvement as a result of treatment.

Assessment of women's treatment preferences for vasomotor symptoms due to menopause.

BACKGROUND: Several therapies for vasomotor symptoms (VMS) due to menopause are available. Treatment preferences and willingness-to-pay for VMS treatment among US women with VMS were evaluated. METHODS: An online survey of women with perimenopausal or postmenopausal VMS was conducted (3/15/21-4/23/21). A discrete choice experiment quantified the impact of 7 treatment attributes on VMS treatment choice: VMS frequency/severity reduction, sleep improvement, risk of breast cancer/cardiovascular events in 6 years, risk of short-term side effects, and out-of-pocket costs. Preference weights (PWs) with 95% confidence intervals (CIs) were estimated and reported. RESULTS: Among 467 women, 86.5% and 87.8% reported moderate to very severe VMS and sleep problems during the preceding month, respectively. Sleep improvement (PW: 0.843; 95% CI: 0.721, 0.965) and reduction in VMS frequency (PW: 0.658; 95% CI: 0.520, 0.796) and severity (PW: 0.628; 95% CI: 0.500, 0.756) most influenced treatment preference; risk of cardiovascular events (PW: 0.150; 95% CI: 0.069, 0.232) or breast cancer (PW: 0.401; 95% CI: 0.306, 0.496) in 6 years had lesser effect. Willingness-to-pay was an additional $35-$46/month for substantially improved sleep, 80% VMS frequency reduction, and reduction from severe to mild VMS. CONCLUSIONS: Sleep improvement and reductions in VMS frequency/severity were the most important treatment attributes.

Hormone and non-hormone treatments are available to reduce vasomotor symptoms (hot flashes and night sweats) due to menopause. We conducted an online survey of 467 women with moderate to very severe vasomotor symptoms during perimenopause or postmenopause to learn what treatment attributes are most important to women when selecting from among the available therapies and how much women were willing to pay for the attributes. Women were shown 14 cards, each with a side-by-side comparison of 2 treatments with varying descriptions of the following 7 treatment attributes: reduction in frequency of vasomotor symptoms, reduction in severity of vasomotor symptoms, improvement in sleep, risk of breast cancer in 6 years, risk of cardiovascular events in 6 years, risk of short-term side effects, and out-of-pocket costs. Women picked their preferred treatment on each card. Results showed that improvement in sleep was the most important attribute to women, and they were willing to pay an extra $46/month for a treatment that substantially improved sleep. The next most important attributes were reduction in frequency and reduction in severity of vasomotor symptoms. Women were willing to pay $36/month more for a treatment that reduced symptom frequency by 80% compared with one that reduced frequency by 50%, and they were willing to pay $35/month more for treatment that reduced symptoms from severe to mild compared with one that did not reduce symptom severity. These results may help guide development of new treatment options and may help physicians recommend treatments that best fit women's preferences.